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Mining Complex Networks
Taschenbuch von Bogumil Kaminski (u. a.)
Sprache: Englisch

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Beschreibung
This book concentrates on mining networks, a subfield within data science. Mining complex networks to understand the principles governing the organization and the behaviour of such networks is crucial for a broad range of fields of study.
This book concentrates on mining networks, a subfield within data science. Mining complex networks to understand the principles governing the organization and the behaviour of such networks is crucial for a broad range of fields of study.
Über den Autor

Bogumi¿ Kami¿ski is the Chairman of the Scientific Council for the Discipline of Economics and Finance at SGH Warsaw School of Economics. He is also an Adjunct Professor at the Data Science Laboratory at Ryerson University. Bogumi¿ is an expert in applications of mathematical modelling to solving complex real-life problems. He is also a substantial open-source contributor to the development of the Julia language and its package ecosystem.

Pawe¿ Präat is a Professor of Mathematics at Ryerson University, whose main research interests are in random graph theory, especially in modelling and mining complex networks. He is the Director of Fields-CQAM Lab on Computational Methods in Industrial Mathematics at The Fields Institute for Research in Mathematical Sciences and has pursued collaborations with various industry partners as well as the Government of Canada. He has written over 170 papers and 3 books with 130 plus collaborators.

François Théberge holds a [...]. degree in applied mathematics from the University of Ottawa, a [...]. in telecommunications from INRS and a PhD. in electrical engineering from McGill University. He has been employed by the Government of Canada since 1996 during which he was involved in the creation of the data science team as well as the research group now known as the Tutte Institute for Mathematics and Computing. He also holds an adjunct professorial position in the Department of Mathematics and Statistics at the University of Ottawa. His current interests include relational-data mining and deep learning.

Inhaltsverzeichnis

Preface
I Core Material

[...] Theory
2.Random Graph Models
3.Centrality Measures
4.Degree Correlations
5.Community Detection
[...] Embeddings
7.Hypergraphs

II Complementary Material

8.Detecting Overlapping Communities
9.Embedding Graphs
10.Network Robustness
[...] Networks

Details
Erscheinungsjahr: 2024
Fachbereich: Allgemeines
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9781032112053
ISBN-10: 1032112050
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Kaminski, Bogumil
Pra¿at, Pawel
Theberge, Francois
Hersteller: Chapman and Hall/CRC
Verantwortliche Person für die EU: Produktsicherheitsverantwortliche/r, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 234 x 156 x 15 mm
Von/Mit: Bogumil Kaminski (u. a.)
Erscheinungsdatum: 26.08.2024
Gewicht: 0,427 kg
Artikel-ID: 129610609
Über den Autor

Bogumi¿ Kami¿ski is the Chairman of the Scientific Council for the Discipline of Economics and Finance at SGH Warsaw School of Economics. He is also an Adjunct Professor at the Data Science Laboratory at Ryerson University. Bogumi¿ is an expert in applications of mathematical modelling to solving complex real-life problems. He is also a substantial open-source contributor to the development of the Julia language and its package ecosystem.

Pawe¿ Präat is a Professor of Mathematics at Ryerson University, whose main research interests are in random graph theory, especially in modelling and mining complex networks. He is the Director of Fields-CQAM Lab on Computational Methods in Industrial Mathematics at The Fields Institute for Research in Mathematical Sciences and has pursued collaborations with various industry partners as well as the Government of Canada. He has written over 170 papers and 3 books with 130 plus collaborators.

François Théberge holds a [...]. degree in applied mathematics from the University of Ottawa, a [...]. in telecommunications from INRS and a PhD. in electrical engineering from McGill University. He has been employed by the Government of Canada since 1996 during which he was involved in the creation of the data science team as well as the research group now known as the Tutte Institute for Mathematics and Computing. He also holds an adjunct professorial position in the Department of Mathematics and Statistics at the University of Ottawa. His current interests include relational-data mining and deep learning.

Inhaltsverzeichnis

Preface
I Core Material

[...] Theory
2.Random Graph Models
3.Centrality Measures
4.Degree Correlations
5.Community Detection
[...] Embeddings
7.Hypergraphs

II Complementary Material

8.Detecting Overlapping Communities
9.Embedding Graphs
10.Network Robustness
[...] Networks

Details
Erscheinungsjahr: 2024
Fachbereich: Allgemeines
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
ISBN-13: 9781032112053
ISBN-10: 1032112050
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Kaminski, Bogumil
Pra¿at, Pawel
Theberge, Francois
Hersteller: Chapman and Hall/CRC
Verantwortliche Person für die EU: Produktsicherheitsverantwortliche/r, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 234 x 156 x 15 mm
Von/Mit: Bogumil Kaminski (u. a.)
Erscheinungsdatum: 26.08.2024
Gewicht: 0,427 kg
Artikel-ID: 129610609
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